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FSTTCS
2006
Springer
15 years 10 months ago
Testing Probabilistic Equivalence Through Reinforcement Learning
We propose a new approach to verification of probabilistic processes for which the model may not be available. We use a technique from Reinforcement Learning to approximate how far...
Josee Desharnais, François Laviolette, Sami...
NIPS
2007
15 years 7 months ago
Sequential Hypothesis Testing under Stochastic Deadlines
Most models of decision-making in neuroscience assume an infinite horizon, which yields an optimal solution that integrates evidence up to a fixed decision threshold; however, u...
Peter Frazier, Angela Yu
IJIIDS
2008
95views more  IJIIDS 2008»
15 years 6 months ago
Tightly-coupled GIS data in GNSS fix computations with integrity testing
: Global Navigation Satellite Systems (GNSS) are often used to localise a receiver with respect to a given map. This association problem, also known as map-matching, is usually add...
Clément Fouque, Philippe Bonnifait
ICASSP
2011
IEEE
14 years 10 months ago
A paired test for recognizer selection with untranscribed data
Traditionally, the use of untranscribed speech has been restricted to unsupervised or semi-supervised training of acoustic models. Comparison of recognizers has required labeled d...
Bhiksha Raj, Rita Singh, James Baker
ICST
2009
IEEE
16 years 1 months ago
Optimizing Probabilities of Real-Time Test Case Execution
—Model-based test derivation for real-time system has been proven to be a hard problem for exhaustive test suites. Therefore, techniques for real-time testing do not aim to exhau...
Nicolás Wolovick, Pedro R. D'Argenio, Hongy...